The graph represents a network of 7,271 Twitter users whose tweets in the requested range contained "gavinnewsom", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 October 2022 at 13:26 UTC.
The requested start date was Wednesday, 05 October 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 7-hour, 48-minute period from Sunday, 02 October 2022 at 16:09 UTC to Tuesday, 04 October 2022 at 23:58 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 7271
Unique Edges : 10591
Edges With Duplicates : 16005
Total Edges : 26596
Number of Edge Types : 5
Replies to : 4161
Mentions : 13447
MentionsInRetweet : 6048
Retweet : 2727
Tweet : 213
Self-Loops : 268
Reciprocated Vertex Pair Ratio : 0.0188864843596301
Reciprocated Edge Ratio : 0.037072793975671
Connected Components : 142
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 6818
Maximum Edges in a Connected Component : 25821
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.809393
Graph Density : 0.000293926409998303
Modularity : 0.392486
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,271 Twitter users whose tweets in the requested range contained "gavinnewsom", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 October 2022 at 13:26 UTC.
The requested start date was Wednesday, 05 October 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 7-hour, 48-minute period from Sunday, 02 October 2022 at 16:09 UTC to Tuesday, 04 October 2022 at 23:58 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : gavinnewsom
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[836] gavinnewsom,gop [658] gop,gopleader [285] gavinnewsom,signed [263] cagovernor,gavinnewsom [241] uccidere,bambini [241] bambini,nati [241] nati,vivi [241] vivi,dopo [238] california,legge [238] legge,ab2223 Top Word Pairs in Tweet in G1:
[148] gavinnewsom,signed [147] katieporteroc,gavinnewsom [97] gov,gavinnewsom [93] gas,prices [87] oil,companies [83] governor,gavinnewsom [53] signed,bill [44] epochtimes,gavinnewsom [38] gas,tax [37] r8derfan33,dbongino Top Word Pairs in Tweet in G2:
[110] gavinnewsom,govrondesantis [102] govrondesantis,gregabbott_tx [97] jsanders174,dan_beauchamp13 [97] dan_beauchamp13,gavinnewsom [79] gavinnewsom,rondesantisfl [72] potus,federalreserve [72] federalreserve,gavinnewsom [70] o4tuna_anut4o,jsanders174 [59] twolfrecovery,potus [41] potus,vp Top Word Pairs in Tweet in G3:
[692] gavinnewsom,gop [576] gop,gopleader [143] kevinforbos,gavinnewsom [108] don,know [107] gop,don [107] know,10 [107] 10,states [107] states,highest [107] highest,murder [107] murder,rates Top Word Pairs in Tweet in G4:
[83] gavinnewsom,gop [76] gavinnewsom,ca_dem [60] gavinnewsom,jacquiirwin [52] millanpatterson,gavinnewsom [51] gop,wagnertonight [43] gas,prices [42] thanks,gavinnewsom [39] gop,gopleader [36] cagovernor,gavinnewsom [35] streetpeoplela,kitsonla Top Word Pairs in Tweet in G5:
[167] cagovernor,gavinnewsom [79] gavinnewsom,signed [63] governor,gavinnewsom [62] senate,district [57] big,news [57] next,state [57] state,senator [56] news,endorsed [56] endorsed,governor [56] gavinnewsom,next Top Word Pairs in Tweet in G6:
[148] 24,hour [148] hour,online [148] online,fundraising [125] gun,safety [102] great,lock [102] lock,friday [102] friday,october [102] october,7th [102] 7th,candidates [102] candidates,ballot Top Word Pairs in Tweet in G7:
[45] carbon,capture [27] fossil,fuel [17] shell,told [17] told,staff [17] staff,cagey [17] cagey,carbon [17] capture,specifics [17] specifics,bp [17] bp,wrote [17] wrote,memo Top Word Pairs in Tweet in G8:
[238] california,legge [238] legge,ab2223 [238] ab2223,consentirà [238] consentirà,alle [238] alle,persone [238] persone,uccidere [238] uccidere,bambini [238] bambini,nati [238] nati,vivi [238] vivi,dopo Top Word Pairs in Tweet in G9:
[6] rbabanksoleprop,gcu [6] gcu,gcuhavocs [6] gcuhavocs,metlife [6] metlife,aegon [6] aegon,icl_inc [6] icl_inc,meta [6] meta,facebook [6] facebook,palantirtech [6] palantirtech,textron [6] textron,amazon Top Word Pairs in Tweet in G10:
[46] lameduckmedia1,gavinnewsom [37] dems,talking [37] highest,murder [37] murder,rate [36] gavinnewsom,arent [36] arent,dems [36] talking,highest [36] rate,mississippi [36] mississippi,21 [36] 21,100k Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: